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The conventional wave-equation linearization methods, such as the first-order Born or Rytov approximation, always implicitly imply a weak-scattering assumption, making it valid only for weak perturbation models. To extend the wave-equation linearization theory to strong perturbation models, we consider a scenario that the reference model is smooth within the scale of the incident wave length, and propose a phase-preserving method which can predict the phase perturbation of forward scattering wave field. First, we introduce the WKBJ approximation to the scattered- and incident wave fields so that the integral of the unknown solution (i.e. the scattered field) in the nonlinear Ricatti integral equation can be replaced by the integral of scattering-angle and model perturbation, yielding an explicit expression of the scattered field. Theoretical derivation shows that the proposed phase-preserving method can accurately predict the phase-perturbation of forward scattered wave field regardless of the strength of velocity perturbations for one-dimensional wave propagation problem. To apply the phase-preserving approximation to the inverse problem, we further consider a scenario of small-angle forward propagation. In this case, the phase-preserving approximation can be linearized by neglecting the influence of scattering angles, leading to a linear relation between the scattered field and the model perturbation, which we refer to as the generalized Rytov approximation. Numerical experiments demonstrate that the generalized Rytov approximation can predict the phase perturbation of the scattered field with higher accuracy for small-angle forward propagation, and is suitable for strong model perturbations. The generalized Rytov approximation extends the validity and the scope of application of the traditional Rytov approximation. In specific application fields such as the seismic traveltime tomography or medical ultrasonic transmission imaging, a new traveltime/phase sensitivity kernel can be derived by replacing the conventional Rytov approximation with the proposed method, which can increase the inversion accuracy and speed up the convergence.
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Keywords:
- wave-equation linearization /
- phase-preserving approximation /
- forward scattering /
- strong perturbation model
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Google Scholar
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Google Scholar
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Google Scholar
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Google Scholar
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[31] 钟万勰, 高强 2005 计算力学学报 22 1
Zhong W X, Gao Q 2005 Chin. J. Comput. Mech. 22 1
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图 1 前向散射角的定义
Figure 1. Definition of the forward-scattering angle.
图 2 二维层状模型中平面波入射与出射示意图(红色和蓝色实线分别表示入射和透射射线)
Figure 2. Sketch of planewave incidence and emergence in a two-layered model (the red and blue lines stand for the incident and emergent rays, respectively).
图 3 双层速度模型中地震记录的(振幅归一化)波形对比. (a)—(d)分别代表速度扰动百分比为5%, 20%, 50%和100%. 黑色和灰色曲线分别为真实模型及背景模型(第1层速度)中正演的地震记录, 红色和蓝色曲线分别为一阶Rytov近似和广义Rytov近似得到的地震记录, 绿色虚线为保相位近似解(保留散射角)
Figure 3. Seismic waveforms calculated using the two-layered model. Panel (a)–(d) stand for velocity models with the velocity percentages of 5%, 20%, 50% and 100%, respectively. The black- and gray-curve are the waveforms in true and background model, respectively; the red- and blue-curve are the first-order and the GRA results, respectively, the green-dotted curve is the phase-preserving solution (keeping the scattering-angle).
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[1] Aki K 1973 J. Geophys. Res. 78 1334
Google Scholar
[2] Born M 1926 Z. Phys. 38 803
Google Scholar
[3] Newton R G 1961 R. Oehme, Phys. Rev 70 121
[4] Newton R G 1989 Inverse Schrödinger Scattering in Three Dimensions (New York: Springer-Verlag) pp25, 26
[5] Päivärinta L, Erkki S 1991 SIAM J. Math. Anal. 22 480
Google Scholar
[6] Wu R S, Zheng Y 2014 Geophys. J. Int. 196 1827
Google Scholar
[7] Wu R S, Wang B, Hu C 2015 Inverse Probl. 31 115004
Google Scholar
[8] 王本锋, 吴如山, 陈小宏, 陆文凯 2016 地球物理学报 59 2257
Google Scholar
Wang B F, Wu R S, Chen X H, Lu W K 2016 Chin. J. Geophys. 59 2257
Google Scholar
[9] Rytov S M 1937 Izv. Akad. Nauk. SSSR Ser Fiz 2 223 (in Russia)
[10] Chernov L A, Silverman R A, Morse P M 1960 Phys. Today 13 50
Google Scholar
[11] Tartarski V L 1971 Jerusalem: Israel Program for Scientific Translations (London: Oldbourne Press) pp218–220
[12] Ishimaru A 1978 Wave Propagation and Scattering in Random Media (Vol. II) (New York: Academic Press) pp376–378
[13] Devaney A J 1984 IEEE T. Geosci. Remote 22 3
Google Scholar
[14] Wu R S, Toksöz M N 1987 Geophysics 52 11
Google Scholar
[15] Tsihrintzis G A, Devaney A J 2000 IEEE T. Image Process. 9 1560
Google Scholar
[16] Wu R S, Flatté S M 1990 Pure Appl. Geophys. 132 175
Google Scholar
[17] Montelli R, Nolet G, Dahlen F A, Masters G, Engdahl E R, Hung S H 2004 Science 303 338
Google Scholar
[18] Zhou Y, Nolet G, Dahlen F A, Laske G 2006 Geophys. Res. 111 B04304
Google Scholar
[19] 刘玉柱, 董良国, 李培明, 王毓炜, 朱金平, 马在田 2009 地球物理学报 52 2310
Google Scholar
Liu Y Z, Dong L G, Li P M, Wang Y W, Zhu J P, Ma Z T 2009 Chin. J. Geophys. 52 2310
Google Scholar
[20] Xu W, Xie X B, Geng J 2015 Pure Appl. Geophys. 172 1409
Google Scholar
[21] 冯波, 罗飞, 王华忠 2019 地球物理学报 62 2217
Google Scholar
Feng B, Luo F, Wang H Z 2019 Chin. J. Geophys. 62 2217
Google Scholar
[22] Wu R S 2003 Pure Appl. Geophys. 160 509
Google Scholar
[23] Tsihrintzis G A, Devaney A J 2000 IEEE T. Inform. Theory 46 1748
Google Scholar
[24] Manning R M 1996 Radiophys. Quant. El. 39 287
Google Scholar
[25] Kim B C, Tinin M V 2009 Waves Random Complex 19 284
Google Scholar
[26] 汪燚林, 董良国 2021 地球物理学报 64 3701
Google Scholar
Wang Y L, Dong L G 2021 Chin. J. Geophys. 64 3701
Google Scholar
[27] Clayton R W, Stolt R H 1981 Geophysics 46 1559
Google Scholar
[28] Flatté S M 1979 Sound Transmission Through a Fluctuating Ocean (London: Cambridge University Press) p165
[29] Snieder R, Lomax A 1996 Geophys. J. Int. 125 796
Google Scholar
[30] 郭敦仁 1991 数学物理方法(第二版) (北京: 高等教育出版社) 第361页
Guo D R 1991 Methods of Mathematical Physics (2nd Ed.) (Beijing: Higher Education Press ) p361
[31] 钟万勰, 高强 2005 计算力学学报 22 1
Zhong W X, Gao Q 2005 Chin. J. Comput. Mech. 22 1
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